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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
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Federal AI Intelligence · U.S. Government AI Observatory

Governance disclosure assessment

Filtered: agency = DOE; feedback = affirmative

Generated 2026-10-12 10:07 UTCDataset: 2025 Federal Agency AI Use Case Inventory (individually reported use cases), Office of Management and Budget (OMB). Version 2025-inventory@62d5baa65fa3, processed 2026-10-11, rules 2026.10.1. Static snapshot.Applied filters: agency = DOE; feedback = affirmative · 64 records

Key findings

  • 64 use-case records from 1 agencies: 45 deployed (70%), 3 pilots, 16 in development or acquisition, 0 retired, 0 with no stage reported.
  • 0 records are designated high-impact; 0 of them (n/a) answered at least one minimum-practice question.
  • 80% of reported deployed use cases (36 of 45) are classified as generative or agentic AI.
  • Sourcing is reported for 100% of use cases. Where reported, 36% involve in-house development.

Governance evidence: use cases designated high-impact

PracticeIn placeIn progressNot in placeN/A or precludedOtherNo answerIn scope
Pre-deployment testing0000000
AI impact assessment0000000
Independent review0000000
Ongoing monitoring0000000
Operator training0000000
Fail-safe0000000
Appeal process0000000
User and public consultation0000000

"In place" means the agency reported the practice as established. "No answer" means the field was blank; it says nothing about whether the practice exists.

Agencies with high-impact records

AgencyHigh-impactAnswered any practicePractice answers in place

Method

All figures are computed directly from the normalised inventory records. Category labels are normalised from the source answer options; original values are kept on each record. Governance answers are classified as in place, in progress, not in place, not applicable, precluded, waived, other or no answer, and blanks are never read as "no". See the Methodology page for full rules.

Limitations

  • Figures are what agencies reported in the 2025 inventory. They are not verified, and registration of use cases is not complete for every agency.
  • A blank answer is missing evidence, not evidence that a practice or safeguard is absent.
  • Counts are use-case records. A larger portfolio does not indicate better performance or greater AI maturity, and agencies differ in how they split systems into use cases.
  • The inventory has no budget, cost, accuracy or outcome data. None is shown or inferred here.
  • This is a disclosure analysis. It is not an audit, a compliance determination or an official government assessment.

Source records

First 40 of 64 records, deployed first. The full list is available as CSV from the explorer with the same filters.

RecordAgency IDAgencyUse caseStage
R3271DOE-10DOEAI for Operations CenterDeployed
R3308DOE-430DOEServiceNow Predictive IntelligenceDeployed
R3312DOE-434DOENLCOO AI for Lessons Learned toolDeployed
R3339DOE-469DOEHanford Ai Liaison (HAL) 1.1Deployed
R3343DOE-477DOEOPQ-AIDeployed
R3357DOE-495DOELANL AI PortalDeployed
R3359DOE-498DOEChatGPT EnterpriseDeployed
R3360DOE-499DOEArgoDeployed
R3369DOE-510DOEMicrosoft Bing ServiceDeployed
R3377DOE-519DOEVisual Studio EnterpriseDeployed
R3383DOE-525DOEMicrosoft OneNoteDeployed
R3393DOE-536DOEMicrosoft Azure Authoring ToolsDeployed
R3405DOE-549DOEApple IntelligenceDeployed
R3407DOE-551DOEMicrosoft ScreenSketchDeployed
R3408DOE-552DOEMicrosoft Visual C++ Additional RuntimeDeployed
R3412DOE-556DOEMicrosoft ProjectDeployed
R3417DOE-561DOEGoogle Chrome Generative AIDeployed
R3427DOE-571DOEGitHub Co-PilotDeployed
R3433DOE-577DOEMicrosoft CopilotDeployed
R3440DOE-586DOEGitHub CopilotDeployed
R3451DOE-596DOEMicrosoft Visual C++ RedistributableDeployed
R3454DOE-599DOEMicrosoft TeamsDeployed
R3458DOE-602DOEMicrosoft Search in BingDeployed
R3462DOE-608DOEMicrosoft Teams ClassicDeployed
R3479DOE-623DOEMicrosoft MSPaintDeployed
R3488DOE-631DOEVisual Studio CommunityDeployed
R3489DOE-632DOEInvoice Scanning SystemDeployed
R3491DOE-634DOEMicrosoft OneDriveDeployed
R3501DOE-645DOEGeoreference FiguresDeployed
R3507DOE-651DOEMicrosoft 365Deployed
R3514DOE-658DOEpComply-AI-High RiskDeployed
R3515DOE-659DOEGroundwater ModelingDeployed
R3524DOE-667DOEMicrosoft Visual C++ Minimum RuntimeDeployed
R3526DOE-669DOEMicrosoft OneDrive MUIDeployed
R3532DOE-674DOEScriptingDeployed
R3542DOE-685DOEMicrosoft 365 Apps for EnterpriseDeployed
R3547DOE-691DOEMicrosoft Outlook MUIDeployed
R3554DOE-698DOEMicrosoft EdgeDeployed
R3567DOE-710DOESQL Server Management StudioDeployed
R3568DOE-711DOEMicrosoft Exchange ServerDeployed

Prepared with Federal AI Intelligence by Irakli Petriashvili. Source: https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory